jidasiran

这是一些我查找的关于lms自适应滤波算法的论文，都觉得很有用(This is something I find on lms adaptive filter algorithm paper.I feel it useful)

说明：  使用最小二乘支持向量机对数据集进行回归预测的程序(The program of regression prediction for data set using least squares support vector machine)

线性规划问题(单纯形法、完整单纯形法与修正单纯形法)与整数规划问题(割平面法、分支定界法与0-1规划)的matlab源程序(matlab source programs of linear programming including simple method, complete simple method and modified simple method and integer programming including dividing plane method, branch and bound method and 0-1 programming method.)

Taflove书的一维时域有限差分完美边界的程序！欢迎下载！(Taflove book one-dimensional finite-difference time-domain boundary perfect program! Welcome to download!)

many progrem used in digital communiction

说明：  交通事故通行 元胞自动机 计算机仿真 国赛题目(Computer simulation of traffic accident cellular automata)

用Matlab程序测试一个模数转换器ADC的信噪比SNR和有效位数(use matlab to test SNR of a ADC)

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

光纤相干通讯数字相干接收机，算法和子系统。一篇很精简全面的总结。(Digital coherent optical receiver algorithms and subsystems in fiber coherent optical communication. A very good brief summary.)

对HARQ系统的吞吐量分析，模式识别中的bayes判别分析算法，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，合成孔径雷达（SAR)目标成像仿真，有CDF三角函数曲线/三维曲线图。( HARQ throughput analysis of the system, Pattern Recognition bayes discriminant analysis algorithm, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Synthetic Aperture Radar (SAR) imaging simulation target, There CDF trigonometric curve/3D graphs.)